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The pressure on tax haven countries to engage in tax information exchange shows first effects on capital markets. Empirical research suggests that investors do react to information exchange and partially withdraw from previous secrecy jurisdictions that open up to information exchange. While some of the economic literature emphasizes possible positive effects of tax havens, the present paper argues that proponents of positive effects may have started from questionable premises, in particular when it comes to the effects that tax havens have for emerging markets like China and India.
Much has been written on the success of the Indian software industry, enumerating systemic factors like first-class higher education and research institutions, both public and private; low labour costs, stimulating (state) policies etc. However, although most studies analyzing the 'Indian' software industry cover essentially the South (and West) Indian clusters, this issue has not been tackled explicitly. This paper supplements the economic geography explanations mentioned above with the additional factor social capital, which is not only important within the region, but also in transnational (ethnic) networks linking Indian software clusters with the Silicon Valley. In other words, spatial proximity is complemented with cultural proximity, thereby, extending the system of innovation. The main hypothesis is that some Indian regions are more apt to economic development and innovation due to their higher affinity to education and learning, as well as, their more general openness, which has been a main finding of my interviews. In addition, the transnational networks of Silicon Valley Indians seem to be dominated by South Indians, thus, corroborating the regional clustering of the Indian software industry. JEL Classifications: O30, R12, Z13, L86
Intrinsic motivation for honesty is perceived as an important determinant of large and persistent variation in cheating behavior. However, little is known about its actual role due to challenges in obtaining precise measures of motivation for honesty, as well as field outcomes on cheating. We fill these gaps using a unique setting of informal milk markets in India. A novel behavioral experiment, which combines a standard die roll task with Bluetooth technology, is used to measure motivation for honesty of milkmen at both extensive and intensive margins. We then buy milk from the same milkmen and show that cheating in the field, measured by the amount of water added to milk, widens significantly with a milkman’s degree of dishonesty. Additional analyses show that conventional binary measure of motivation for honesty suffers from measurement errors, resulting in underestimation of this association.